An examination of latent constructs of dynamic sexual violence risk and need as a function of indigenous and nonindigenous ancestry.
Bibliographic record
Abstract
= 670) groups, corresponding broadly to the domains of sexual deviance, criminality, and treatment responsivity. Associations examined between pre- and posttreatment rated factor scores and sexual and violent recidivism were moderated less by Indigenous ancestry and more by victim profile. Specifically, sexual deviance scores were significantly associated with 5- and 10-year sexual recidivism outcomes among both ancestral groups, but only among men with exclusively child victims. Further, criminality was predictive of all outcomes, particularly violent recidivism, irrespective of ancestry or victim type. Treatment responsivity was significantly predictive of sexual and violent recidivism, but only among men who had an adult victim. Change scores on all 3 factors, while controlling for pretreatment score, were significantly associated with decreased sexual and violent recidivism across ancestry and victim groups. Results underscore a common structure to sexual violence risk that emerges from the VRS-SO for Indigenous and non-Indigenous men and that risk and change scores from the three factor domains have comparable predictive properties across these broad ancestral groups. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".